1 citations · 1 across the 3 of their papers we have counts for
5 papers
Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
Piotr A. Kowalski, Szymon Kucharczyk, Jacek MaÅdziuk
This paper presents the constrained Hybrid Metaheuristic (cHM) algorithm as a general framework for continuous optimisation. Unlike many existing metaheuristics that are tailored t…
Reasoning Capabilities of Large Language Models. Lessons Learned from General Game Playing
Maciej Åwiechowski, Adam Å»ychowski, Jacek MaÅdziuk
This paper examines the reasoning capabilities of Large Language Models (LLMs) from a novel perspective, focusing on their ability to operate within formally specified, rule-govern…
Automatic Design of Optimization Test Problems with Large Language Models
Wojciech Achtelik, Hubert Guzowski, Maciej SmoÅka +1
The development of black-box optimization algorithms depends on the availability of benchmark suites that are both diverse and representative of real-world problem landscapes. Wide…
The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
MichaÅ Iwaniuk, Mateusz Jarosz, BartÅomiej Borycki +4
Random Forests (RFs) typically train each tree on a bootstrap sample of the same size as the training set, i.e., bootstrap rate (BR) equals 1.0. We systematically examine how varyi…
Training chord recognition models on artificially generated audio
Martyna Majchrzak, Jacek MaÅdziuk
One of the challenging problems in Music Information Retrieval is the acquisition of enough non-copyrighted audio recordings for model training and evaluation. This study compares…